We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Location based Analysis of Twitter Data using Apache Hive

by Manish Wankhede, Vijay Trivedi, Vineet Richhariya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 10
Year of Publication: 2016
Authors: Manish Wankhede, Vijay Trivedi, Vineet Richhariya
10.5120/ijca2016912170

Manish Wankhede, Vijay Trivedi, Vineet Richhariya . Location based Analysis of Twitter Data using Apache Hive. International Journal of Computer Applications. 153, 10 ( Nov 2016), 21-26. DOI=10.5120/ijca2016912170

@article{ 10.5120/ijca2016912170,
author = { Manish Wankhede, Vijay Trivedi, Vineet Richhariya },
title = { Location based Analysis of Twitter Data using Apache Hive },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 10 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume153/number10/26439-2016912170/ },
doi = { 10.5120/ijca2016912170 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:58:46.699655+05:30
%A Manish Wankhede
%A Vijay Trivedi
%A Vineet Richhariya
%T Location based Analysis of Twitter Data using Apache Hive
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 10
%P 21-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Twitter, one of the largest and famous social media site receives millions of tweets every day on variety of important topic. This large amount of raw data can be used for industrial , Social, Economic, Government policies or business purpose by organizing according to our need and processing. Hadoop is one of the best tool options for twitter data analysis and hadoop works for distributed Big data , Streaming data , Time Stamped data , text data etc. This paper discuss how to use FLUME for extracting twitter data and store it into HDFS for analysis, and after that we are use apache hive for analysing these data. We perform analysis on twitter data to find the number of tweets are posted location wise and also finds the keywords on which maximum and minimum tweets are posted.

References
  1. Sunil B. Mane , Sunil B. Mane, Yashwant Sawant, Saif Kazi, Vaibhav Shinde , “Real Time Sentiment Analysis of Twitter Data Using Hadoop”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014, 3098 – 3100 , ISSN:0975-9646.
  2. Mahalakshmi R, Suseela S , “Big-SoSA:Social Sentiment Analysis and Data Visualization on Big Data”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 4, April 2015 , pp 304-306, ISSN : 2278-1021.
  3. Praveen Kumar, Dr Vijay Singh Rathore,” Efficient Capabilities of Processing of Big Data using Hadoop Map Reduce”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 6, June 2014, pp 7123-7126.
  4. Manoj Kumar Danthala, “Tweet Analysis: Twitter Data processing Using Apache Hadoop”, International Journal Of Core Engineering & Management (IJCEM) Volume 1, Issue 11, February 2015, pp 94-102.
  5. Manoj Kumar Danthala, “Bigdata Analysis: Streaming Twitter Data with Apache Hadoop and Visualizing using BigInsights”, International Journal of Engineering Research & Technology, Volume. 4 - Issue. 05 , May – 2015.
  6. Judith Sherin Tilsha S , Shobha M S, “A Survey on Twitter Data Analysis Techniques to Extract Public Opinion”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 11, November 2015, pp 536-540.
  7. Mr. Sagar Nadagoud, Mr. Kotresh Naik.D, “Market Sentiment Analysis for Popularity of Flipkart ”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Volume4Issue5,May2015,pp 2117-2123.
  8. Ramesh R, Divya G, Divya D, Merin K Kurian , “Big Data Sentiment Analysis using Hadoop “, (IJIRST )International Journal for Innovative Research in Science & Technology,Volume 1 , Issue 11 , April 2015 ISSN : 2349-6010.
  9. G.Vinodhini , RM.Chandrasekaran, “Sentiment Analysis and Opinion Mining: A Survey” , International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 6, June 2012 ISSN: 2277 128X.
  10. Michael G. Noll, Applied Research, Big Data, Distributed Systems, Open Source, "Running Hadoop on Ubuntu Linux (Single-Node Cluster)", [online], available at http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/
  11. Aditya B. Patel, Manashvi Birla, Ushma Nair, "Addressing Big Data Problem Using Hadoop and Map Reduce",6-8 Dec. 2012.
  12. Hive kiwi at http://www.apache.org/hadoop/hive.
  13. Hadoop Map-Reduce Tutorial at http://hadoop.apache.org/common/docs/current/hdfs_user_guide.html.
  14. Hive Performance Benchmark. Available at http://issues.apache.org/jira/browse/HIVE-396.
Index Terms

Computer Science
Information Sciences

Keywords

Hadoop twitter Flume social analysis hive HWI JSON